metaDigitise: Extract and Summarise Data from Published Figures

High-throughput, flexible and reproducible extraction of data from figures in primary research papers. metaDigitise() can extract data and / or automatically calculate summary statistics for users from box plots, bar plots (e.g., mean and errors), scatter plots and histograms.

Version:	1.0.1
Depends:	R (≥ 3.4)
Imports:	magick, stats, graphics, utils, purrr
Suggests:	mockery, testthat, knitr, rmarkdown
Published:	2020-03-13
DOI:	10.32614/CRAN.package.metaDigitise
Author:	Joel Pick [aut], Shinichi Nakagawa [aut], Daniel Noble [aut, cre]
Maintainer:	Daniel Noble <daniel.wa.noble at gmail.com>
BugReports:	https://github.com/daniel1noble/metaDigitise/issues
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
Citation:	metaDigitise citation info
Materials:	README, NEWS
In views:	MetaAnalysis
CRAN checks:	metaDigitise results

Documentation:

Reference manual:	metaDigitise.html , metaDigitise.pdf
Vignettes:	metaDigitise (source, R code)

Downloads:

Package source:	metaDigitise_1.0.1.tar.gz
Windows binaries:	r-devel: metaDigitise_1.0.1.zip, r-release: metaDigitise_1.0.1.zip, r-oldrel: metaDigitise_1.0.1.zip
macOS binaries:	r-release (arm64): metaDigitise_1.0.1.tgz, r-oldrel (arm64): metaDigitise_1.0.1.tgz, r-release (x86_64): metaDigitise_1.0.1.tgz, r-oldrel (x86_64): metaDigitise_1.0.1.tgz
Old sources:	metaDigitise archive

Linking:

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